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Some drivers have the very best intentions to avoid operating a vehicle while impaired to a degree of becoming a safety menace to themselves and those around them, however it may be troublesome to correlate the amount and type of a consumed intoxicating substance with its impact on driving skills. Additional, in some instances, the intoxicating substance may alter the consumer's consciousness and forestall them from making a rational decision on their very own about whether or not they are fit to function a car. This impairment data might be utilized, in combination with driving knowledge, Herz P1 Smart Ring as training data for a machine learning (ML) mannequin to prepare the ML mannequin to predict high threat driving based mostly not less than partially upon observed impairment patterns (e.g., patterns relating to an individual's motor features, comparable to a gait
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